Josh Dillon, Last Revised January 2022
This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')
antenna = "80" csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_" auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')
Found 97 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_ Found 95 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0
def jd_to_summary_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'
def jd_to_auto_metrics_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'
this_antenna = None
jds = []
# parse information about antennas and nodes
for csv in csvs:
df = pd.read_csv(csv)
for n in range(len(df)):
# Add this day to the antenna
row = df.loc[n]
if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
else:
antnum = int(row['Ant'])
if antnum != int(antenna):
continue
if np.issubdtype(type(row['Node']), np.integer):
row['Node'] = str(row['Node'])
if type(row['Node']) == str and row['Node'].isnumeric():
row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
if this_antenna is None:
this_antenna = Antenna(row['Ant'], row['Node'])
jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
jds.append(jd)
this_antenna.add_day(jd, row)
break
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]
df = pd.DataFrame(to_show)
# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
df[col] = bar_cols[col]
z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
df[col] = z_score_cols[col]
ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
df[col] = ant_metrics_cols[col]
redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]
for col in redcal_cols:
df[col] = redcal_cols[col]
# style dataframe
table = df.style.hide_index()\
.applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
.background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
.background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
.applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
.format({col: '{:,.4f}'.format for col in z_score_cols}) \
.format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
.format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
.set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])
This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))
| JDs | A Priori Status | Auto Metrics Flags | Dead Fraction in Ant Metrics (Jee) | Dead Fraction in Ant Metrics (Jnn) | Crossed Fraction in Ant Metrics | Flag Fraction Before Redcal | Flagged By Redcal chi^2 Fraction | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | Average Dead Ant Metric (Jee) | Average Dead Ant Metric (Jnn) | Average Crossed Ant Metric | Median chi^2 Per Antenna (Jee) | Median chi^2 Per Antenna (Jnn) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2459914 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 9.363887 | 14.551817 | 3.082011 | 4.851649 | 5.492352 | 9.190729 | 9.599217 | 6.514472 | 0.4004 | 0.0428 | 0.2650 | nan | nan |
| 2459913 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 9.636757 | 14.456341 | 2.644445 | 4.137922 | 6.668054 | 9.187804 | 29.137888 | 2.460937 | 0.3092 | 0.0397 | 0.2094 | nan | nan |
| 2459912 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 7.718668 | 12.336497 | 2.173254 | 3.883967 | 6.200254 | 8.016980 | 18.450802 | 1.131886 | 0.3096 | 0.0413 | 0.2134 | nan | nan |
| 2459911 | not_connected | 100.00% | 0.92% | 100.00% | 0.00% | - | - | 8.178299 | 11.640399 | 2.171265 | 4.093444 | 6.036524 | 7.309838 | 8.669836 | 0.066935 | 0.3022 | 0.0397 | 0.2099 | nan | nan |
| 2459910 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 8.419180 | 12.002992 | 2.077568 | 4.095987 | 5.908197 | 7.661708 | 10.496312 | 0.232820 | 0.3035 | 0.0390 | 0.2095 | nan | nan |
| 2459909 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 8.608107 | 12.493635 | 1.841984 | 4.018147 | 5.024911 | 6.275824 | 12.816227 | 0.645532 | 0.3033 | 0.0384 | 0.2110 | nan | nan |
| 2459908 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 9.302128 | 13.283790 | 1.806809 | 3.979804 | 4.856940 | 5.671503 | 10.811088 | 0.938307 | 0.3102 | 0.0389 | 0.2113 | nan | nan |
| 2459907 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 9.322170 | 13.401713 | 1.966300 | 4.261123 | 4.789975 | 6.123894 | 11.959257 | 0.949770 | 0.3066 | 0.0427 | 0.2076 | nan | nan |
| 2459906 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 9.272148 | 13.469217 | 2.620271 | 4.295883 | 5.095985 | 8.396485 | 19.687058 | 1.400555 | 0.3011 | 0.0391 | 0.2044 | nan | nan |
| 2459905 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 8.793940 | 12.532771 | 2.377643 | 4.106936 | 10.253310 | 13.429862 | 19.256298 | 0.672950 | 0.2934 | 0.0367 | 0.1820 | nan | nan |
| 2459904 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 8.790527 | 12.641939 | 2.967666 | 4.581347 | 6.318151 | 10.150358 | 26.666756 | 2.243225 | 0.2993 | 0.0372 | 0.1823 | nan | nan |
| 2459903 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 9.336896 | 13.461691 | 2.462170 | 4.584663 | 5.037359 | 7.832064 | 24.816072 | 2.066238 | 0.2992 | 0.0379 | 0.1911 | nan | nan |
| 2459902 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 10.460544 | 14.981597 | 2.721919 | 4.634542 | 5.183396 | 8.188573 | 12.496670 | 0.948084 | 0.3098 | 0.0404 | 0.1948 | nan | nan |
| 2459901 | not_connected | 100.00% | 4.65% | 100.00% | 0.00% | - | - | 10.282229 | 15.309524 | 2.065858 | 4.289053 | 4.274888 | 7.146180 | 10.891100 | 0.944155 | 0.2868 | 0.0432 | 0.1623 | nan | nan |
| 2459900 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 9.138611 | 15.479982 | 2.005147 | 4.687908 | 4.507950 | 7.699317 | 11.905995 | 0.951353 | 0.2663 | 0.0404 | 0.1723 | nan | nan |
| 2459898 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 8.799202 | 12.676411 | 2.258104 | 4.238478 | 6.410858 | 9.288524 | 20.177044 | 1.693233 | 0.2989 | 0.0394 | 0.2028 | nan | nan |
| 2459897 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 8.197016 | 12.382308 | 2.588413 | 4.402796 | 6.584239 | 9.975138 | 18.345717 | 1.483505 | 0.3046 | 0.0377 | 0.1746 | nan | nan |
| 2459896 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 8.452969 | 12.541067 | 2.322630 | 4.491962 | 8.110873 | 10.922263 | 6.192856 | 0.888236 | 0.3059 | 0.0388 | 0.1752 | nan | nan |
| 2459895 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 11.165588 | 15.349558 | 3.262942 | 5.379268 | 7.385806 | 10.984688 | 5.710328 | 5.499954 | 0.4331 | 0.0389 | 0.2683 | nan | nan |
| 2459894 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 9.955230 | 14.642844 | 2.426602 | 3.861354 | 7.277209 | 10.500224 | 15.028655 | 1.257095 | 0.3218 | 0.0401 | 0.1930 | nan | nan |
| 2459893 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 10.195741 | 15.121292 | 2.174605 | 4.252596 | 6.478583 | 9.212353 | 15.157740 | 2.116395 | 0.3155 | 0.0399 | 0.2018 | nan | nan |
| 2459892 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 10.173081 | 14.934242 | 2.542551 | 4.888448 | 4.752361 | 7.049599 | 15.358095 | 1.389976 | 0.3088 | 0.0431 | 0.2067 | nan | nan |
| 2459891 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 9.070364 | 13.713027 | 2.924076 | 4.834553 | 7.182313 | 10.327018 | 20.230524 | 1.743424 | 0.2975 | 0.0390 | 0.2015 | nan | nan |
| 2459890 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 9.427540 | 13.966013 | 3.482859 | 5.511448 | 6.722455 | 9.077722 | 11.727839 | 0.215937 | 0.3007 | 0.0381 | 0.2027 | nan | nan |
| 2459889 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 10.378957 | 15.774718 | 2.901145 | 4.545068 | 8.613765 | 12.874528 | 18.784430 | 2.032091 | 0.3088 | 0.0419 | 0.2045 | nan | nan |
| 2459888 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 8.588176 | 13.163232 | 3.127027 | 5.381604 | 8.122025 | 11.764910 | 5.099406 | 2.250370 | 0.3366 | 0.0403 | 0.2278 | nan | nan |
| 2459887 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 9.307056 | 14.099841 | 2.082962 | 5.291399 | 5.732992 | 10.274266 | 6.820103 | 1.027353 | 0.3039 | 0.0409 | 0.2037 | nan | nan |
| 2459886 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 13.054491 | 19.098153 | 2.340247 | 4.862250 | 4.922542 | 8.064162 | 2.361102 | 2.056813 | 0.3923 | 0.0443 | 0.2620 | nan | nan |
| 2459885 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 16.704168 | 22.999301 | 36.994941 | 25.560499 | 13.019242 | 19.302957 | 18.041112 | 11.503767 | 0.3492 | 0.0394 | 0.2172 | nan | nan |
| 2459884 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 9.103040 | 13.249204 | 3.072256 | 5.140081 | 6.220163 | 9.842228 | 9.624256 | 0.742396 | 0.2986 | 0.0379 | 0.1984 | nan | nan |
| 2459883 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 12.985946 | 18.372794 | 32.313557 | 23.477641 | 6.817766 | 10.796847 | 29.136829 | 4.431568 | 0.3089 | 0.0396 | 0.2009 | nan | nan |
| 2459882 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 22.321905 | 30.007941 | 38.287251 | 25.554463 | 9.484453 | 15.186092 | 16.027490 | 1.953696 | 0.3140 | 0.0410 | 0.2069 | nan | nan |
| 2459881 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 11.950889 | 17.134457 | 43.315837 | 29.341258 | 17.782567 | 30.455272 | 45.693046 | 14.689472 | 0.4118 | 0.0416 | 0.2530 | nan | nan |
| 2459880 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 14.905261 | 20.794106 | 34.349076 | 24.386272 | 6.024373 | 9.221975 | 17.606371 | 1.548334 | 0.3011 | 0.0388 | 0.2001 | nan | nan |
| 2459879 | not_connected | 100.00% | 0.53% | 100.00% | 0.00% | - | - | 8.164821 | 11.237266 | 0.526703 | 4.718519 | 1.348253 | 1.955473 | 16.404800 | 1.103393 | 0.2872 | 0.0380 | 0.1732 | nan | nan |
| 2459878 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 13.343291 | 18.599109 | 42.146749 | 29.522428 | 10.237715 | 15.692686 | 27.725556 | 4.919671 | 0.3098 | 0.0413 | 0.1755 | nan | nan |
auto_metrics notebooks.¶htmls_to_display = []
for am_html in auto_metric_htmls:
html_to_display = ''
# read html into a list of lines
with open(am_html) as f:
lines = f.readlines()
# find section with this antenna's metric plots and add to html_to_display
jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
try:
section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
except ValueError:
continue
html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
for line in lines[section_start_line + 1:]:
html_to_display += line
if '<hr' in line:
htmls_to_display.append(html_to_display)
break
These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.
for i, html_to_display in enumerate(htmls_to_display):
if i == 100:
break
display(HTML(html_to_display))
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 80 | N11 | not_connected | nn Shape | 14.551817 | 9.363887 | 14.551817 | 3.082011 | 4.851649 | 5.492352 | 9.190729 | 9.599217 | 6.514472 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 80 | N11 | not_connected | ee Temporal Discontinuties | 29.137888 | 14.456341 | 9.636757 | 4.137922 | 2.644445 | 9.187804 | 6.668054 | 2.460937 | 29.137888 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 80 | N11 | not_connected | ee Temporal Discontinuties | 18.450802 | 12.336497 | 7.718668 | 3.883967 | 2.173254 | 8.016980 | 6.200254 | 1.131886 | 18.450802 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 80 | N11 | not_connected | nn Shape | 11.640399 | 11.640399 | 8.178299 | 4.093444 | 2.171265 | 7.309838 | 6.036524 | 0.066935 | 8.669836 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 80 | N11 | not_connected | nn Shape | 12.002992 | 12.002992 | 8.419180 | 4.095987 | 2.077568 | 7.661708 | 5.908197 | 0.232820 | 10.496312 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 80 | N11 | not_connected | ee Temporal Discontinuties | 12.816227 | 12.493635 | 8.608107 | 4.018147 | 1.841984 | 6.275824 | 5.024911 | 0.645532 | 12.816227 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 80 | N11 | not_connected | nn Shape | 13.283790 | 9.302128 | 13.283790 | 1.806809 | 3.979804 | 4.856940 | 5.671503 | 10.811088 | 0.938307 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 80 | N11 | not_connected | nn Shape | 13.401713 | 13.401713 | 9.322170 | 4.261123 | 1.966300 | 6.123894 | 4.789975 | 0.949770 | 11.959257 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 80 | N11 | not_connected | ee Temporal Discontinuties | 19.687058 | 13.469217 | 9.272148 | 4.295883 | 2.620271 | 8.396485 | 5.095985 | 1.400555 | 19.687058 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 80 | N11 | not_connected | ee Temporal Discontinuties | 19.256298 | 12.532771 | 8.793940 | 4.106936 | 2.377643 | 13.429862 | 10.253310 | 0.672950 | 19.256298 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 80 | N11 | not_connected | ee Temporal Discontinuties | 26.666756 | 12.641939 | 8.790527 | 4.581347 | 2.967666 | 10.150358 | 6.318151 | 2.243225 | 26.666756 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 80 | N11 | not_connected | ee Temporal Discontinuties | 24.816072 | 13.461691 | 9.336896 | 4.584663 | 2.462170 | 7.832064 | 5.037359 | 2.066238 | 24.816072 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 80 | N11 | not_connected | nn Shape | 14.981597 | 10.460544 | 14.981597 | 2.721919 | 4.634542 | 5.183396 | 8.188573 | 12.496670 | 0.948084 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 80 | N11 | not_connected | nn Shape | 15.309524 | 10.282229 | 15.309524 | 2.065858 | 4.289053 | 4.274888 | 7.146180 | 10.891100 | 0.944155 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 80 | N11 | not_connected | nn Shape | 15.479982 | 9.138611 | 15.479982 | 2.005147 | 4.687908 | 4.507950 | 7.699317 | 11.905995 | 0.951353 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 80 | N11 | not_connected | ee Temporal Discontinuties | 20.177044 | 12.676411 | 8.799202 | 4.238478 | 2.258104 | 9.288524 | 6.410858 | 1.693233 | 20.177044 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 80 | N11 | not_connected | ee Temporal Discontinuties | 18.345717 | 12.382308 | 8.197016 | 4.402796 | 2.588413 | 9.975138 | 6.584239 | 1.483505 | 18.345717 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 80 | N11 | not_connected | nn Shape | 12.541067 | 12.541067 | 8.452969 | 4.491962 | 2.322630 | 10.922263 | 8.110873 | 0.888236 | 6.192856 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 80 | N11 | not_connected | nn Shape | 15.349558 | 11.165588 | 15.349558 | 3.262942 | 5.379268 | 7.385806 | 10.984688 | 5.710328 | 5.499954 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 80 | N11 | not_connected | ee Temporal Discontinuties | 15.028655 | 14.642844 | 9.955230 | 3.861354 | 2.426602 | 10.500224 | 7.277209 | 1.257095 | 15.028655 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 80 | N11 | not_connected | ee Temporal Discontinuties | 15.157740 | 10.195741 | 15.121292 | 2.174605 | 4.252596 | 6.478583 | 9.212353 | 15.157740 | 2.116395 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 80 | N11 | not_connected | ee Temporal Discontinuties | 15.358095 | 14.934242 | 10.173081 | 4.888448 | 2.542551 | 7.049599 | 4.752361 | 1.389976 | 15.358095 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 80 | N11 | not_connected | ee Temporal Discontinuties | 20.230524 | 9.070364 | 13.713027 | 2.924076 | 4.834553 | 7.182313 | 10.327018 | 20.230524 | 1.743424 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 80 | N11 | not_connected | nn Shape | 13.966013 | 13.966013 | 9.427540 | 5.511448 | 3.482859 | 9.077722 | 6.722455 | 0.215937 | 11.727839 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 80 | N11 | not_connected | ee Temporal Discontinuties | 18.784430 | 10.378957 | 15.774718 | 2.901145 | 4.545068 | 8.613765 | 12.874528 | 18.784430 | 2.032091 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 80 | N11 | not_connected | nn Shape | 13.163232 | 13.163232 | 8.588176 | 5.381604 | 3.127027 | 11.764910 | 8.122025 | 2.250370 | 5.099406 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 80 | N11 | not_connected | nn Shape | 14.099841 | 14.099841 | 9.307056 | 5.291399 | 2.082962 | 10.274266 | 5.732992 | 1.027353 | 6.820103 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 80 | N11 | not_connected | nn Shape | 19.098153 | 13.054491 | 19.098153 | 2.340247 | 4.862250 | 4.922542 | 8.064162 | 2.361102 | 2.056813 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 80 | N11 | not_connected | ee Power | 36.994941 | 22.999301 | 16.704168 | 25.560499 | 36.994941 | 19.302957 | 13.019242 | 11.503767 | 18.041112 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 80 | N11 | not_connected | nn Shape | 13.249204 | 13.249204 | 9.103040 | 5.140081 | 3.072256 | 9.842228 | 6.220163 | 0.742396 | 9.624256 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 80 | N11 | not_connected | ee Power | 32.313557 | 18.372794 | 12.985946 | 23.477641 | 32.313557 | 10.796847 | 6.817766 | 4.431568 | 29.136829 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 80 | N11 | not_connected | ee Power | 38.287251 | 30.007941 | 22.321905 | 25.554463 | 38.287251 | 15.186092 | 9.484453 | 1.953696 | 16.027490 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 80 | N11 | not_connected | ee Temporal Discontinuties | 45.693046 | 17.134457 | 11.950889 | 29.341258 | 43.315837 | 30.455272 | 17.782567 | 14.689472 | 45.693046 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 80 | N11 | not_connected | ee Power | 34.349076 | 20.794106 | 14.905261 | 24.386272 | 34.349076 | 9.221975 | 6.024373 | 1.548334 | 17.606371 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 80 | N11 | not_connected | ee Temporal Discontinuties | 16.404800 | 11.237266 | 8.164821 | 4.718519 | 0.526703 | 1.955473 | 1.348253 | 1.103393 | 16.404800 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 80 | N11 | not_connected | ee Power | 42.146749 | 18.599109 | 13.343291 | 29.522428 | 42.146749 | 15.692686 | 10.237715 | 4.919671 | 27.725556 |